An exploratory study to explore the possibility of using computer vision algorithms to estimate a child's length using images taken by a healthcare professional or parents.
This is an exploratory, observational, pilot study that aims to evaluate the performance of a Length Artificial Intelligence (LAI) algorithm in a real world setting. Images will be collected by parents or healthcare professionals, together with physical length measurements. This data will be used to evaluate the accuracy of the algorithm and to explore potential improvements. Data on the acceptance and experience of the using the algorithm will be collected for improvements.
Study Type
OBSERVATIONAL
Enrollment
200
Physical length will be measured and images will be collected for AI to estimate the length
KK Women's and Children's Hospital
Singapore, Singapore
Accuracy of the length AI
Accuracy of the length AI in a clinic and in a home setting, derived from: 1. The length AI prediction from images collected 2. The physical length measurement of subjects
Time frame: 2 days
Investigator's assessment on collection of images
Investigator's assessment on the ease of collecting the images \[Very Easy, Easy, Normal, Difficult, Very Difficult\]
Time frame: 2 days
Parental acceptability of the length AI
Parental acceptability of length AI assessed via the study questionnaire \[Very useful, useful, neutral, not useful, very not useful\]
Time frame: 2 days
Investigators' (or delegates) acceptability of length AI
Investigators' (or delegates) likelihood of using the length AI assessed via the study questionnaire \[Very Likely, Likely, Neutral, Unlikely, Very Unlikely\]
Time frame: 2 days
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